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Web links represent both anarchy and order. The official overseer of the Web, the World Wide Web consortium, imposes no rules on hyperlink creation. Its role is merely to promote standardised used of the official language, HTML. Whilst in practice there are some limitations on Web page authoring, varying from strictly enforced organisational policies for standardised link structures to legal requirements concerning trademark infringement (Oppenheim, 2001) few would argue with the contention that Web linking is essentially an unregulated phenomenon. Yet there is order in the chaos: search engines such as Google and AltaVista successfully use the link structure of the Web to optimise search results (Brin & Page, 1998; AltaVista, 2002); counts of links between university Web sites in several countries correlate significantly with research ratings (Thelwall, 2001a; Smith & Thelwall, 2002; Thelwall & Tang, 2002); the topology of the Web exhibits striking power laws (Broder et al. 2000; Thelwall & Wilkinson, 2003). The challenge for researchers in may fields is now to harness whatever order there is so as to be able to extract meaning from the chaos. In information retrieval this appears to have been achieved by the commercial search engines but not yet replicated in academic studies (Hawking et al., 2000; Gao et al., 2001).

Bar-Ilan, J. (2001a). Data collection methods on the Web for informetric purposes - A review and analysis, Scientometrics, 50(1) 7-32.

Bar-Ilan, J. (2001b). How much information the search engines disclose on the links to a Web page? A case study of the “Cybermetrics” home page. In: Proceedings of the 8th International Conference on Scientometrics & Informetrics, vol 1. pp. 63-73, Sydney, Australia: Bibliometric & Informetric Research Group.

Björneborn, L. & Ingwersen, P. (2001). Perspectives of webometrics. Scientometrics, 50(1), 65-82.

Mental health professionals, policy makers and the general public continue to debate the issue of pathological video gaming. Scholars disagree on the prevalence and diagnostic criteria for this potential new disorder. The current meta-analysis considers existing scholarship to examine how differing measurement methods influence prevalence rates and associations with other mental health problems.

Prevalence estimates and comorbidity with other problems varied widely between studies. Measurement which attempted to replicate “pathological gambling” approaches produced higher prevalence estimates and lower comorbidity estimates than methods which focused on the interfering nature of pathological gaming. The most precise measures produce an overall prevalence rate of 3.1%.

Christopher J.Ferguson & Mark Coulson & Jane Barnett, 2011, Journal of Psychiatric Research, A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems